研究目的
To develop a dynamic feed-in tariff pricing model for distributed photovoltaic generation (DPVG) in China that adapts to the decline in PV equipment costs and regional solar resource endowments.
研究成果
The study concludes that the dynamic feed-in tariff model for DPVG is reasonable and effective, suggesting that the government should adjust the feed-in tariff more frequently based on the model. It also recommends increasing R&D investment in DPVG and dividing China into five regions for pricing based on solar energy resources.
研究不足
The study does not consider the impact of minimum equipment cost when simulating cumulative installed capacity and cumulative R&D investment. Taxes are not considered in the case study for convenience.
1：Experimental Design and Method Selection:
The study uses the accounting cost method and combines the learning curve of PV equipment to measure the dynamic unit generation cost of distributed PV.
2：Sample Selection and Data Sources:
China's solar resource endowments are reclassified into five regions. Data on PV equipment cost, cumulative installed capacity, and cumulative R&D investment are sourced from academic research and reports.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The study involves simulating the feed-in tariff levels for DPVG from 2017 to 2020 based on the dynamic cost model.
5：Data Analysis Methods:
Regression analysis is used to determine the learning rate of installed capacity and cumulative R&D investment.
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